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Elementary linear algebra
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BIOLOGY AND LIFE SCIENCES
Age distribution vector, 372, 383, 384, 387
Age progression software, 174
Age transition matrix, 372, 383, 384, 387
Agriculture, 37, 50, 101
Cosmetic surgery results simulation, 174
Duchenne muscular dystrophy, 359
Galloping speeds of animals, 270
Genetics, 359
Health care expenditures, 140
Heart rhythm analysis, 249
Hemophilia A, 359
Hereditary baldness, 359
Nutrition, 11
Population
of deer, 37
of laboratory mice, 95
of rabbits, 373
of sharks, 388
of small fish, 388
Population genetics, 359
Population growth, 372, 373, 383, 384,
387, 388, 390
Predator-prey relationship, 388
Red-green color blindness, 359
Reproduction rates of deer, 97
Sex-linked inheritance, 359
Spread of a virus, 95
Vitamin C content, 11
Wound healing simulation, 174
-linked inheritance, 359
BUSINESS AND ECONOMICS
Borrowing money, 23
Computer operator charges, 139
Demand
for a grade of gasoline, 97
for a rechargeable power drill, 97
Demand matrix, external, 91
Economic system, 90, 91
of a small community, 96
Finance, 23
Gasoline sales, 99
Industrial system, 96, 101
Input-output matrix, 90
Leontief input-output model(s), 90, 91, 97
Major League Baseball salaries, 101
Manufacturing
labor and material costs, 99
models and prices, 144
production levels, 51, 99
Net profit, Microsoft, 32
Output matrix, 91
Profit, from crops, 50
Purchase of a product, 95
Revenue
fast-food stand, 236
General Dynamics Corporation, 260, 270
Google, Inc., 286
telecommunications company, 236
textbook publishers, 137
Sales, 37
concession area, 42
Wal-Mart, 32
Satellite television service, 85, 86, 141
Textbook publishing, 137
ENGINEERING AND TECHNOLOGY
Aircraft design, 79
Circuit design, 316
Computer graphics, 332
Computer monitors, 184
Control system, 308
Controllability matrix, 308
Cryptography, 87–89, 95–97, 100, 101
Data encryption, 87
Decoding a message, 89, 96, 97, 100, 101
Digital signal processing, 166
Electrical network analysis, 30, 31, 34, 37,
144
Electronic equipment, 184
Encoding a message, 88, 95, 97, 100
Encryption key, 87
Engineering and control, 124
Error checking
digit, 194
matrix, 194
Feed horn, 217
Global Positioning System, 16
Image morphing and warping, 174
Information retrieval, 58
Internet search engine, 58
Ladder network, 316
Locating lost vessels at sea, 16
Movie special effects, 174
Network analysis, 29–31, 33, 34, 37
Radar, 166
Sampling, 166
Satellite dish, 217
Smart phones, 184
Televisions, 184
Wireless communications, 166
MATHEMATICS AND GEOMETRY
Adjoint of a matrix, 128, 129, 136, 140, 144
Collinear points in the -plane, 133, 137
Conic section(s), 220, 223
general equation, 135
rotation of axes, 215–218, 220, 223,
377–379, 384, 387
Contraction in 331, 335, 336
Coplanar points in space, 134, 137
Cramer’s Rule, 124, 130, 131, 136, 137, 140
Cross product of two vectors, 271–274,
282, 283, 286
Differential equation(s)
linear, 212, 219, 220, 223
second order, 158
system of first order, 348, 374, 375,
383, 384, 387, 388, 390
Expansion in 331, 335, 336, 339
Fibonacci sequence, 388
Fourier approximation(s), 279–281, 283, 286
Geometry of linear transformations in
330–332, 335, 336, 339
Hessian matrix, 369
Jacobian, 108, 139
Lagrange multiplier, 34
Laplace transform, 124
Least squares approximation(s), 275–278, 283
linear, 276, 283, 286
quadratic, 277, 283, 286
Linear programming, 47
Magnification in 335, 336
Mathematical modeling, 267, 268, 270
Parabola passing through three points, 144
Partial fraction decomposition, 34, 37
Polynomial curve fitting, 25–28, 32, 34, 37
Quadratic form(s), 376–382, 384, 387, 390
Quadric surface, rotation of, 382, 384
Reflection in 330, 335, 336, 339, 340
Relative maxima and minima, 369
Rotation
in 297, 337, 385, 389
in 333, 334, 336, 339
Second Partials Test for relative extrema, 369
Shear in 331, 332, 335, 336, 339
Taylor polynomial of degree 1, 276
Three-point form of the equation of a
plane, 135, 137, 140
Translation in 302, 337
Triple scalar product, 282
Two-point form of the equation of a line,
133, 137, 140, 144
Unit circle, 247
Wronskian, 213, 219, 220, 223
R2,
R2,
R3,
R2,
R2
,
R2,
R2
,
R2
,
R2
,
xy
X
INDEX OF APPLICATIONS
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PHYSICAL SCIENCES
Acoustical noise levels, 28
Airplane speed, 11
Area
of a parallelogram using cross product,
273, 274, 282, 286
of a triangle
using cross product, 283
using determinants, 132, 137, 140,
144
Astronomy, 27, 268
Balancing a chemical equation, 4
Beam deflection, 64, 72
Chemical
mixture, 37
reaction, 4
Computational fluid dynamics, 79
Crystallography, 207
Degree of freedom, 158
Diffusion, 348
Dynamical systems, 388
Earthquake monitoring, 16
Electric and magnetic flux, 234
Flexibility matrix, 64, 72
Force
matrix, 72
to pull an object up a ramp, 151
Geophysics, 166
Grayscale, 184
Hooke’s Law, 64
Kepler’s First Law of Planetary Motion,
135
Kirchhoff’s Laws, 30, 316
Lattice of a crystal, 207
Mass-spring system, 158, 161
Mean distance from the sun, 27, 268
Natural frequency, 158
Newton’s Second Law of Motion, 158
Ohm’s Law, 316
Pendulum, 219
Planetary
orbits, 135
periods, 27, 268
Primary additive colors, 184
RGB color model, 184
Stiffness matrix, 64, 72
Temperature, 34
Torque, 271
Traffic flow, 28, 33
Undamped system, 158
Unit cell, 207
end-centered monoclinic, 207
Vertical motion, 37
Volume
of a parallelepiped, 282, 283, 286
of a solid, 108
of a tetrahedron, 134, 137
Water flow, 33
Weather, 325
Work, 242
SOCIAL SCIENCES AND
DEMOGRAPHICS
Cellular phone subscribers, 101
Consumer preference model, 85, 86, 95,
141
Doctoral degrees awarded, 270
Energy consumption, 285
Final grades, 100
Motor vehicle registration, 97
Politics, voting apportionment, 51
Population
of consumers, 95
regions of the United States, 51
of smokers and nonsmokers, 95
United States, 32
world, 267
Population migration, 100
Smokers and nonsmokers, 95
Sports, Super Bowl I, 36
Television watching, 95
Test scores, 102
STATISTICS AND PROBABILITY
Canonical regression analysis, 298
Least squares regression
analysis, 92–94, 97, 101, 259, 265–270
cubic polynomial, 270
line, 93, 97, 101, 265, 268, 270, 290
quadratic polynomial, 267, 270
Markov chain, 325
Multiple regression analysis, 298
Multivariate statistics, 298
State matrix, 85, 100, 141, 325
Steady state probability vector, 386
Stochastic matrices, 84–86, 95, 97, 100, 325
MISCELLANEOUS
Architecture, 382
Catedral Metropolitana Nossa Senhora
Aparecida, 382
Determining directions, 16
Dominoes, A2
Flight crew scheduling, 47
Sudoku, 114
Tips, 23
U.S. Postal Service, 194
ZIP + 4 barcode, 194
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Elementary Linear Algebra
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Australia • Brazil • Japan • Korea • Mexico • Singapore • Spain • United Kingdom • United States
Elementary Linear Algebra
Ron Larson
The Pennsylvania State University
The Behrend College
Seventh Edition
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Elementary Linear Algebra
Seventh Edition
Ron Larson
Vice President, Editorial Director: P.J. Boardman
Publisher: Richard Stratton
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© 2013, 2009, 2004, Brooks/Cole, Cengage Learning
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Library of Congress Control Number: 2011935270
Student Edition:
ISBN-13: 978-1-133-11087-3
ISBN-10: 1-133-11087-8
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Systems of Linear Equations 1
1.1 Introduction to Systems of Linear Equations 2
1.2 Gaussian Elimination and Gauss-Jordan Elimination 13
1.3 Applications of Systems of Linear Equations 25
Review Exercises 35
Project 1 Graphing Linear Equations 38
Project 2 Underdetermined and Overdetermined Systems 38
Matrices 39
2.1 Operations with Matrices 40
2.2 Properties of Matrix Operations 52
2.3 The Inverse of a Matrix 62
2.4 Elementary Matrices 74
2.5 Applications of Matrix Operations 84
Review Exercises 98
Project 1 Exploring Matrix Multiplication 102
Project 2 Nilpotent Matrices 102
Determinants 103
3.1 The Determinant of a Matrix 104
3.2 Determinants and Elementary Operations 112
3.3 Properties of Determinants 120
3.4 Applications of Determinants 128
Review Exercises 138
Project 1 Stochastic Matrices 141
Project 2 The Cayley-Hamilton Theorem 141
Cumulative Test for Chapters 1–3 143
Vector Spaces 145
4.1 Vectors in 146
4.2 Vector Spaces 155
4.3 Subspaces of Vector Spaces 162
4.4 Spanning Sets and Linear Independence 169
4.5 Basis and Dimension 180
4.6 Rank of a Matrix and Systems of Linear Equations 189
4.7 Coordinates and Change of Basis 202
4.8 Applications of Vector Spaces 212
Review Exercises 221
Project 1 Solutions of Linear Systems 224
Project 2 Direct Sum 224
Rn
v
1
2
3
4
Contents
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Inner Product Spaces 225
5.1 Length and Dot Product in 226
5.2 Inner Product Spaces 237
5.3 Orthonormal Bases: Gram-Schmidt Process 248
5.4 Mathematical Models and Least Squares Analysis 259
5.5 Applications of Inner Product Spaces 271
Review Exercises 284
Project 1 The QR-Factorization 287
Project 2 Orthogonal Matrices and Change of Basis 288
Cumulative Test for Chapters 4 and 5 289
Linear Transformations 291
6.1 Introduction to Linear Transformations 292
6.2 The Kernel and Range of a Linear Transformation 303
6.3 Matrices for Linear Transformations 314
6.4 Transition Matrices and Similarity 324
6.5 Applications of Linear Transformations 330
Review Exercises 337
Project 1 Reflections in (I) 340
Project 2 Reflections in (II) 340
Eigenvalues and Eigenvectors 341
7.1 Eigenvalues and Eigenvectors 342
7.2 Diagonalization 353
7.3 Symmetric Matrices and Orthogonal Diagonalization 362
7.4 Applications of Eigenvalues and Eigenvectors 372
Review Exercises 385
Project 1 Population Growth and Dynamical Systems (I) 388
Project 2 The Fibonacci Sequence 388
Cumulative Test for Chapters 6 and 7 389
Complex Vector Spaces (online)*
8.1 Complex Numbers
8.2 Conjugates and Division of Complex Numbers
8.3 Polar Form and DeMoivre’s Theorem
8.4 Complex Vector Spaces and Inner Products
8.5 Unitary and Hermitian Matrices
Review Exercises
Project Population Growth and Dynamical Systems (II)
R2
R2
Rn
vi Contents
5
6
7
8
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Linear Programming (online)*
9.1 Systems of Linear Inequalities
9.2 Linear Programming Involving Two Variables
9.3 The Simplex Method: Maximization
9.4 The Simplex Method: Minimization
9.5 The Simplex Method: Mixed Constraints
Review Exercises
Project Cholesterol Levels
Numerical Methods (online)*
10.1 Gaussian Elimination with Partial Pivoting
10.2 Iterative Methods for Solving Linear Systems
10.3 Power Method for Approximating Eigenvalues
10.4 Applications of Numerical Methods
Review Exercises
Project Population Growth
Appendix A1
Mathematical Induction and Other Forms of Proofs
Online Technology Guide (online)*
Answer Key A7
Index A39
*Available online at www.cengagebrain.com.
Contents vii
9
10
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Welcome to the Seventh Edition of Elementary Linear Algebra.
My primary goal is to present the major concepts of linear
algebra clearly and concisely. To this end, I have carefully
selected the examples and exercises to balance theory with
applications and geometrical intuition. The order and coverage
of topics were chosen for maximum efficiency, effectiveness,
and balance. The new design complements the multitude of
features and applications found throughout the book.
New To This Edition
NEW Chapter Openers
Each Chapter Opener highlights five real-life applications
of linear algebra found throughout the chapter. Many of the
applications reference the new Linear Algebra Applied featured
(discussed below). You can find a full listing of the applications
in the Index of Applications on the inside front cover.
NEW Linear Algebra Applied
Linear Algebra Applied describes a real-life application
of concepts discussed in a section. These applications include
biology and life sciences, business and economics,
engineering and technology, physical sciences, and statistics
and probability.
NEW Capstone Exercises
The Capstone is a conceptual problem that synthesizes
key topics to check students’ understanding of the section
concepts. I recommend it.
ix
Preface
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REVISED Exercise Sets
The exercise sets have been carefully and extensively
examined to ensure they are rigorous, relevant, and
cover all topics suggested by our users. The exercises
have been reorganized and titled so you can better
see the connections between examples and exercises.
Many new skill building, challenging, and application
exercises have been added. As in earlier editions, the
following pedagogically-proven types of exercises
are included:
• True or False Exercises ask students to give examples
or justifications to support their conclusions.
• Proofs
• Guided Proofs lead student through the initial steps
of constructing proofs and then utilizing the results.
• Writing Exercises
• Technology Exercises are indicated throughout
the text with .
• Exercises utilizing electronic data sets are indicated
by and found at www.cengagebrain.com.
Table of Contents Changes
Based on feedback from users, Section 3.4
(Introduction to Eigenvalues) in the previous
edition has been removed and its content has
been absorbed in Chapter 7 (Eigenvalues and
Eigenvectors).
Trusted Features
Section Objectives
A bulleted list of learning objectives provides you
the opportunity to preview what will be presented
in the upcoming section. For the Seventh Edition,
the section objectives are located by relevance at
the beginning of each section.
Theorems, Definitions, and Properties
Presented in clear and mathematically precise
language, all theorems, definitions, and properties
are highlighted for emphasis and easy reference.
x Preface
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Proofs in Outline Form
In addition to proofs in the exercises, some
proofs are presented in outline form, omitting
the need for burdensome calculations.
Discovery
Discovery helps you develop an intuitive
understanding of mathematical concepts and
relationships.
Technology Notes
Technology notes show how you can use graphing
utilities and software programs appropriately in the
problem-solving process. Many of the technology
notes reference the Online Technology Guide,
located at www.cengagebrain.com.
Chapter Projects
Two per chapter, these offer the opportunity
for group activities or more extensive homework
assignments, and are focused on theoretical
concepts or applications. Many encourage the
use of technology.
Preface xi
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Instructor’s Solutions Manual
ISBN-13: 978-1-133-36538-9
The Instructor’s Solutions Manual provides worked-out solutions for all even-numbered
exercises in the text.
Media
Solution Builder
www.cengage.com/solutionbuilder
This online instructor database offers complete worked-out solutions of all exercises
in the text. Solution Builder allows you to create customized, secure solutions printouts
(in PDF format) matched exactly to the problems you assign in class.
Diploma Computerized Testing
ISBN-13: 978-1-133-49045-6
Diploma is an easy-to-use assessment software containing hundreds of algorithmic
questions derived from the text exercises. With Diploma, you can quickly create,
customize, and deliver tests in both print and online formats.
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Cengage YouBook
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xii
Instructor Resources
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